Twin Support Vector Machines

Twin Support Vector Machines
Author :
Publisher : Springer
Total Pages : 211
Release :
ISBN-10 : 9783319461861
ISBN-13 : 3319461869
Rating : 4/5 (869 Downloads)

Book Synopsis Twin Support Vector Machines by : Jayadeva

Download or read book Twin Support Vector Machines written by Jayadeva and published by Springer. This book was released on 2016-10-12 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.


Twin Support Vector Machines Related Books

Twin Support Vector Machines
Language: en
Pages: 211
Authors: Jayadeva
Categories: Technology & Engineering
Type: BOOK - Published: 2016-10-12 - Publisher: Springer

DOWNLOAD EBOOK

This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and
Mathematical Programming and Game Theory for Decision Making
Language: en
Pages: 498
Authors: S. K. Neogy
Categories: Mathematics
Type: BOOK - Published: 2008 - Publisher: World Scientific

DOWNLOAD EBOOK

This edited book presents recent developments and state-of-the-art review in various areas of mathematical programming and game theory. It is a peer-reviewed re
Support Vector Machines
Language: en
Pages: 345
Authors: Naiyang Deng
Categories: Business & Economics
Type: BOOK - Published: 2012-12-17 - Publisher: CRC Press

DOWNLOAD EBOOK

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector mac
Pattern Classification
Language: en
Pages: 332
Authors: Shigeo Abe
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive
Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications
Language: en
Pages: 854
Authors: Pavel Krömer
Categories: Technology & Engineering
Type: BOOK - Published: 2018-12-24 - Publisher: Springer

DOWNLOAD EBOOK

This volume of Advances in Intelligent Systems and Computing highlights papers presented at the Fifth Euro-China Conference on Intelligent Data Analysis and App